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Automated Detection and Removal of Clouds and Their Shadows from Landsat TM Images
Bin WANG Atsuo ONO Kanako MURAMATSU Noboru FUJIWARA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 1999/02/25
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Image Processing,Computer Graphics and Pattern Recognition
remote sensing, image fusion, wavelet transform, automated detection and removal, Landsat TM images,
Full Text: PDF(618KB)>>
In this paper, a scheme to remove clouds and their shadows from remotely sensed images of Landsat TM over land has been proposed. The scheme uses the image fusion technique to automatically recognize and remove contamination of clouds and their shadows, and integrate complementary information into the composite image from multitemporal images. The cloud regions can be detected on the basis of the reflectance differences with the other regions. Based on the fact that shadows smooth the brightness changes of the ground, the shadow regions can be detected successfully by means of wavelet transform. Further, an area-based detection rule is developed in this paper and the multispectral characteristics of Landsat TM images are used to alleviate the computational load. Because the wavelet transform is adopted for the image fusion, artifacts are invisible in the fused images. Finally, the performance of the proposed scheme is demonstrated experimentally.